--- /dev/null
+/**
+ * GStreamer Tensor_Filter
+ * Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
+ * Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
+ * Copyright (C) 2018 MyungJoo Ham <myungjoo.ham@samsung.com>
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a
+ * copy of this software and associated documentation files (the "Software"),
+ * to deal in the Software without restriction, including without limitation
+ * the rights to use, copy, modify, merge, publish, distribute, sublicense,
+ * and/or sell copies of the Software, and to permit persons to whom the
+ * Software is furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+ * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+ * DEALINGS IN THE SOFTWARE.
+ *
+ * Alternatively, the contents of this file may be used under the
+ * GNU Lesser General Public License Version 2.1 (the "LGPL"), in
+ * which case the following provisions apply instead of the ones
+ * mentioned above:
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Library General Public
+ * License as published by the Free Software Foundation; either
+ * version 2 of the License, or (at your option) any later version.
+ *
+ * This library is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+ * Library General Public License for more details.
+ *
+ * You should have received a copy of the GNU Library General Public
+ * License along with this library; if not, write to the
+ * Free Software Foundation, Inc., 59 Temple Place - Suite 330,
+ * Boston, MA 02111-1307, USA.
+ *
+ * @file tensor_filter.c
+ * @date 24 May 2018
+ * @brief GStreamer plugin to use general neural network frameworks as filters
+ * @see http://github.com/TO-BE-DETERMINED-SOON
+ * @see https://github.sec.samsung.net/STAR/nnstreamer
+ * @author MyungJoo Ham <myungjoo.ham@samsung.com>
+ *
+ * This is the main plugin for per-NN-framework plugins.
+ * Specific implementations for each NN framework must be written
+ * in each framework specific files; e.g., tensor_fitler_tensorflow_lite.c
+ *
+ */
+
+/**
+ * SECTION:element-tensor_filter
+ *
+ * A filter that converts media stream to tensor stream for NN frameworks.
+ * The output is always in the format of other/tensor
+ *
+ * <refsect2>
+ * <title>Example launch line</title>
+ * |[
+ * gst-launch -v -m fakesrc ! tensor_filter framework=tensorflow-lite, model=./inception_v3.pb, input=3,224,224, output=1000 ! fakesink silent=TRUE
+ * ]|
+ * </refsect2>
+ *
+ * If input is other/tensor C array input[1][224][224][3] and
+ * output is other/tensor C array output[1][1][1][1000]
+ */
+/* @TODO I don't sure if we can give "224x224x3" as property values for gstreamer. */
+
+#ifdef HAVE_CONFIG_H
+# include <config.h>
+#endif
+
+#include <gst/gst.h>
+#include <glib.h>
+#include <glib/gprintf.h>
+
+#include "tensor_filter.h"
+
+GstTensor_Filter_Framework *tensor_filter_supported[] = {
+ &NNS_support_tensorflow_lite,
+};
+
+GST_DEBUG_CATEGORY_STATIC (gst_tensor_filter_debug);
+#define GST_CAT_DEFAULT gst_tensor_filter_debug
+
+/* Filter signals and args */
+enum
+{
+ /* FILL ME */
+ LAST_SIGNAL
+};
+
+enum
+{
+ PROP_0,
+ PROP_SILENT,
+ PROP_FRAMEWORK,
+ PROP_MODEL,
+ PROP_INPUT,
+ PROP_OUTPUT,
+};
+
+/**
+ * @brief The capabilities of the inputs
+ *
+ * @TODO I'm not sure if the range is to be 1, 65535 or larger
+ *
+ */
+static GstStaticPadTemplate sink_factory = GST_STATIC_PAD_TEMPLATE ("sink",
+ GST_PAD_SINK,
+ GST_PAD_ALWAYS,
+ GST_STATIC_CAPS ("other/tensor, "
+ "rank = (int) [ 1, 65535 ], "
+ "dim1 = (int) [ 1, 65535 ], "
+ "dim2 = (int) [ 1, 65535 ], "
+ "dim3 = (int) [ 1, 65535 ], "
+ "dim4 = (int) [ 1, 65535 ], "
+ "type = (string) { float32, float64, int32, uint32, int16, uint16, int8, uint8 }, "
+ "framerate = (fraction) [ 0/1, 2147483647/1 ]")
+ );
+
+/**
+ * @brief The capabilities of the outputs
+ *
+ * @TODO I'm not sure if the range is to be 1, 65535 or larger
+ *
+ */
+static GstStaticPadTemplate src_factory = GST_STATIC_PAD_TEMPLATE ("src",
+ GST_PAD_SRC,
+ GST_PAD_ALWAYS,
+ GST_STATIC_CAPS ("other/tensor, "
+ "rank = (int) [ 1, 65535 ], "
+ "dim1 = (int) [ 1, 65535 ], "
+ "dim2 = (int) [ 1, 65535 ], "
+ "dim3 = (int) [ 1, 65535 ], "
+ "dim4 = (int) [ 1, 65535 ], "
+ "type = (string) { float32, float64, int32, uint32, int16, uint16, int8, uint8 }, "
+ "framerate = (fraction) [ 0/1, 2147483647/1 ]")
+ );
+
+#define gst_tensor_filter_parent_class parent_class
+G_DEFINE_TYPE (GstTensor_Filter, gst_tensor_filter, GST_TYPE_BASE_TRANSFORM);
+
+static void gst_tensor_filter_set_property (GObject * object, guint prop_id,
+ const GValue * value, GParamSpec * pspec);
+static void gst_tensor_filter_get_property (GObject * object, guint prop_id,
+ GValue * value, GParamSpec * pspec);
+
+/* GstBaseTransformer vmethod implementations */
+static GstFlowReturn gst_tensor_filter_transform(GstBaseTransform *trans,
+ GstBuffer *inbuf,
+ GstBuffer *outbuf);
+static GstFlowReturn gst_tensor_filter_transform_ip(GstBaseTransform *trans,
+ GstBuffer *buf);
+static GstCaps* gst_tensor_filter_transform_caps(GstBaseTransform *trans,
+ GstPadDirection direction,
+ GstCaps *caps,
+ GstCaps *filter);
+static GstCaps* gst_tensor_filter_fixate_caps(GstBaseTransform *trans,
+ GstPadDirection direction,
+ GstCaps *caps,
+ GstCaps *othercaps);
+static gboolean gst_tensor_filter_set_caps(GstBaseTransform *trans,
+ GstCaps *incaps,
+ GstCaps *outcaps);
+/* GObject vmethod implementations */
+
+/* initialize the tensor_filter's class */
+static void
+gst_tensor_filter_class_init (GstTensor_FilterClass * g_class)
+{
+ GObjectClass *gobject_class;
+ GstElementClass *gstelement_class;
+ GstBaseTransformClass *trans_class;
+ GstTensor_FilterClass *klass;
+
+ klass = (GstTensor_FilterClass *) g_class;
+ trans_class = (GstBaseTransformClass *) klass;
+ gstelement_class = (GstElementClass *) trans_class;
+ gobject_class = (GObjectClass *) gstelement_class;
+
+ gobject_class->set_property = gst_tensor_filter_set_property;
+ gobject_class->get_property = gst_tensor_filter_get_property;
+
+ g_object_class_install_property (gobject_class, PROP_SILENT,
+ g_param_spec_boolean ("silent", "Silent", "Produce verbose output ?",
+ FALSE, G_PARAM_READWRITE));
+ g_object_class_install_property (gobject_class, PROP_FRAMEWORK,
+ g_param_spec_string ("framework", "Framework", "Neural network framework ?",
+ "", G_PARAM_READABLE));
+ g_object_class_install_property (gobject_class, PROP_MODEL,
+ g_param_spec_string ("model", "Model filepath", "Filepath to the model file ?",
+ "", G_PARAM_READABLE));
+ g_object_class_install_property (gobject_class, PROP_INPUT,
+ g_param_spec_value_array ("input", "Input dimension", "Input tensor dimension from inner array, upto 4 dimensions ?",
+ g_param_spec_uint("dimension", "Dimension", "Size of a dimension axis in input dimension array", 1, 65535, 1, G_PARAM_READABLE), G_PARAM_READABLE));
+ g_object_class_install_property (gobject_class, PROP_OUTPUT,
+ g_param_spec_value_array ("output", "Output dimension", "Output tensor dimension from inner array, upto 4 dimensions ?",
+ g_param_spec_uint("dimension", "Dimension", "Size of a dimension axis in output dimension array", 1, 65535, 1, G_PARAM_READABLE), G_PARAM_READABLE));
+
+ gst_element_class_set_details_simple(gstelement_class,
+ "Tensor_Filter",
+ "NN Frameworks (e.g., tensorflow) as Media Filters",
+ "Handles NN Frameworks (e.g., tensorflow) as Media Filters with other/tensor type stream",
+ "MyungJoo Ham <myungjoo.ham@samsung.com>");
+
+ gst_element_class_add_pad_template (gstelement_class,
+ gst_static_pad_template_get (&src_factory));
+ gst_element_class_add_pad_template (gstelement_class,
+ gst_static_pad_template_get (&sink_factory));
+
+ /* Refer: https://gstreamer.freedesktop.org/documentation/design/element-transform.html */
+ trans_class->passthrough_on_same_caps = FALSE;
+
+ /* Processing units */
+ trans_class->transform = GST_DEBUG_FUNCPTR(gst_tensor_filter_transform);
+ trans_class->transform_ip = GST_DEBUG_FUNCPTR(gst_tensor_filter_transform_ip);
+
+ /* Negotiation units */
+ trans_class->transform_caps = GST_DEBUG_FUNCPTR(gst_tensor_filter_transform_caps);
+ trans_class->fixate_caps = GST_DEBUG_FUNCPTR(gst_tensor_filter_fixate_caps);
+ trans_class->set_caps = GST_DEBUG_FUNCPTR(gst_tensor_filter_set_caps);
+
+ /* Allocation units */
+ // @TODO Fill these in!
+ // trans_class-> ...
+}
+
+/* initialize the new element
+ * instantiate pads and add them to element
+ * set pad calback functions
+ * initialize instance structure
+ */
+static void
+gst_tensor_filter_init (GstTensor_Filter * filter)
+{
+ filter->silent = FALSE;
+ filter->nnfw = _T_F_UNDEFINED;
+ filter->inputConfigured = FALSE;
+ filter->outputConfigured = FALSE;
+ filter->modelFilename = NULL;
+
+ filter->inputDimension[0] = 1; // innermost
+ filter->inputDimension[1] = 1;
+ filter->inputDimension[2] = 1;
+ filter->inputDimension[3] = 1; // out
+
+ filter->outputDimension[0] = 1; // innermost
+ filter->outputDimension[1] = 1;
+ filter->outputDimension[2] = 1;
+ filter->outputDimension[3] = 1; // out
+}
+
+static void
+gst_tensor_filter_set_property (GObject * object, guint prop_id,
+ const GValue * value, GParamSpec * pspec)
+{
+ GstTensor_Filter *filter = GST_TENSOR_FILTER (object);
+
+ switch (prop_id) {
+ case PROP_SILENT:
+ filter->silent = g_value_get_boolean (value);
+ break;
+ default:
+ G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec);
+ break;
+ }
+}
+
+static void
+gst_tensor_filter_get_property (GObject * object, guint prop_id,
+ GValue * value, GParamSpec * pspec)
+{
+ GstTensor_Filter *filter = GST_TENSOR_FILTER (object);
+
+ switch (prop_id) {
+ case PROP_SILENT:
+ g_value_set_boolean (value, filter->silent);
+ break;
+ default:
+ G_OBJECT_WARN_INVALID_PROPERTY_ID (object, prop_id, pspec);
+ break;
+ }
+}
+
+/******************************************************************
+ * GstElement vmethod implementations
+ */
+
+/* Configure tensor metadata from sink caps */
+static gboolean
+gst_tensor_filter_configure_tensor(const GstCaps *caps, GstTensor_Filter *filter) {
+}
+
+
+/* entry point to initialize the plug-in
+ * initialize the plug-in itself
+ * register the element factories and other features
+ */
+static gboolean
+tensor_filter_init (GstPlugin * tensor_filter)
+{
+ /* debug category for fltering log messages
+ *
+ * exchange the string 'Template tensor_filter' with your description
+ */
+ GST_DEBUG_CATEGORY_INIT (gst_tensor_filter_debug, "tensor_filter",
+ 0, "Template tensor_filter");
+
+ return gst_element_register (tensor_filter, "tensor_filter", GST_RANK_NONE,
+ GST_TYPE_TENSOR_FILTER);
+}
+
+/* PACKAGE: this is usually set by autotools depending on some _INIT macro
+ * in configure.ac and then written into and defined in config.h, but we can
+ * just set it ourselves here in case someone doesn't use autotools to
+ * compile this code. GST_PLUGIN_DEFINE needs PACKAGE to be defined.
+ */
+#ifndef PACKAGE
+#define PACKAGE "tensor_filter"
+#endif
+
+/* gstreamer looks for this structure to register tensor_filters
+ *
+ * exchange the string 'Template tensor_filter' with your tensor_filter description
+ */
+GST_PLUGIN_DEFINE (
+ GST_VERSION_MAJOR,
+ GST_VERSION_MINOR,
+ tensor_filter,
+ "tensor_filter",
+ tensor_filter_init,
+ VERSION,
+ "LGPL",
+ "GStreamer",
+ "http://gstreamer.net/"
+)
+
+static GstFlowReturn gst_tensor_filter_transform(GstBaseTransform *trans,
+ GstBuffer *inbuf,
+ GstBuffer *outbuf)
+{
+ return GST_FLOW_ERROR;
+}
+
+static GstFlowReturn gst_tensor_filter_transform_ip(GstBaseTransform *trans,
+ GstBuffer *buf)
+{
+ return GST_FLOW_ERROR;
+}
+
+/**
+ * gst_tensor_filter_transform_caps() - configure tensor-srcpad cap from "proposed" cap.
+ *
+ * @trans ("this" pointer)
+ * @direction (why do we need this?)
+ * @caps sinkpad cap
+ * @filter this element's cap (don't know specifically.)
+ */
+static GstCaps* gst_tensor_filter_transform_caps(GstBaseTransform *trans,
+ GstPadDirection direction,
+ GstCaps *caps,
+ GstCaps *filter)
+{
+}
+
+static GstCaps* gst_tensor_filter_fixate_caps(GstBaseTransform *trans,
+ GstPadDirection direction,
+ GstCaps *caps,
+ GstCaps *othercaps)
+{
+}
+
+static gboolean gst_tensor_filter_set_caps(GstBaseTransform *trans,
+ GstCaps *incaps,
+ GstCaps *outcaps)
+{
+}
--- /dev/null
+/*
+ * GStreamer Tensor_Filter
+ * Copyright (C) 2005 Thomas Vander Stichele <thomas@apestaart.org>
+ * Copyright (C) 2005 Ronald S. Bultje <rbultje@ronald.bitfreak.net>
+ * Copyright (C) 2018 MyungJoo Ham <myungjoo.ham@samsung.com>
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a
+ * copy of this software and associated documentation files (the "Software"),
+ * to deal in the Software without restriction, including without limitation
+ * the rights to use, copy, modify, merge, publish, distribute, sublicense,
+ * and/or sell copies of the Software, and to permit persons to whom the
+ * Software is furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+ * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+ * DEALINGS IN THE SOFTWARE.
+ *
+ * Alternatively, the contents of this file may be used under the
+ * GNU Lesser General Public License Version 2.1 (the "LGPL"), in
+ * which case the following provisions apply instead of the ones
+ * mentioned above:
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Library General Public
+ * License as published by the Free Software Foundation; either
+ * version 2 of the License, or (at your option) any later version.
+ *
+ * This library is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+ * Library General Public License for more details.
+ *
+ * You should have received a copy of the GNU Library General Public
+ * License along with this library; if not, write to the
+ * Free Software Foundation, Inc., 59 Temple Place - Suite 330,
+ * Boston, MA 02111-1307, USA.
+ *
+ * @file tensor_filter.h
+ * @date 24 May 2018
+ * @brief GStreamer plugin to use general neural network frameworks as filters
+ * @see http://github.com/TO-BE-DETERMINED-SOON
+ * @see https://github.sec.samsung.net/STAR/nnstreamer
+ * @author MyungJoo Ham <myungjoo.ham@samsung.com>
+ *
+ * @TODO TBD: Should we disable "in-place" mode? (what if output size > input size?)
+ */
+
+#ifndef __GST_TENSOR_FILTER_H__
+#define __GST_TENSOR_FILTER_H__
+
+#include <stdint.h>
+#include <gst/gst.h>
+#include <gst/base/gstbasetransform.h>
+
+G_BEGIN_DECLS
+
+/* #defines don't like whitespacey bits */
+#define GST_TYPE_TENSOR_FILTER \
+ (gst_tensor_filter_get_type())
+#define GST_TENSOR_FILTER(obj) \
+ (G_TYPE_CHECK_INSTANCE_CAST((obj),GST_TYPE_TENSOR_FILTER,GstTensor_Filter))
+#define GST_TENSOR_FILTER_CLASS(klass) \
+ (G_TYPE_CHECK_CLASS_CAST((klass),GST_TYPE_TENSOR_FILTER,GstTensor_FilterClass))
+#define GST_IS_TENSOR_FILTER(obj) \
+ (G_TYPE_CHECK_INSTANCE_TYPE((obj),GST_TYPE_TENSOR_FILTER))
+#define GST_IS_TENSOR_FILTER_CLASS(klass) \
+ (G_TYPE_CHECK_CLASS_TYPE((klass),GST_TYPE_TENSOR_FILTER))
+#define GST_TENSOR_FILTER_CAST(obj) ((GstTensor_Filter *)(obj))
+
+typedef struct _GstTensor_Filter GstTensor_Filter;
+
+typedef struct _GstTensor_FilterClass GstTensor_FilterClass;
+
+/**
+ * @brief NN Frameworks
+ */
+typedef enum _nnfw_type {
+ _T_F_UNDEFINED = 0, /* Not defined or supported. Cannot proceed in this status */
+
+ _T_F_CUSTOM, /* NYI. Custom other/tensor -> other/tensor shared object (dysym) */
+ _T_F_TENSORFLOW_LITE, /* NYI */
+ _T_F_TENSORFLOW, /* NYI */
+ _T_F_CAFFE2, /* NYI */
+
+ _T_F_NNFW_END,
+} nnfw_type;
+
+/**
+ * @brief NN Framework Names
+ *
+ * These strings are used to search f/w from property input.
+ */
+static const char* nnfw_names[] = {
+ "Not supported",
+
+ "custom",
+ "tensorflow-lite",
+ "tensorflow",
+ "caffe2",
+
+ 0,
+};
+
+/**
+ * @brief NN Framework Support Status
+ *
+ * TRUE: Supported
+ * FALSE: Scaffoldings are there, but not supported, yet. (NYI)
+ */
+static const gboolean nnfw_support_status[] = {
+ FALSE,
+
+ FALSE,
+ FALSE,
+ FALSE,
+ FALSE,
+
+ FALSE,
+};
+
+/**
+ * @brief Internal data structure for tensor_filter instances.
+ */
+struct _GstTensor_Filter
+{
+ GstBaseTransform element; /**< This is the parent object */
+
+ gboolean silent;
+ gboolean inputConfigured;
+ gboolean outputConfigured;
+ nnfw_type nnfw;
+ gchar *modelFilename;
+
+ /* @TODO: replace 4 with the macro defined in the common header / int with the enum */
+ uint32_t inputDimension[4];
+ int inputType;
+ uint32_t outputDimension[4];
+ int outputType;
+};
+
+/*
+ * @brief GstTensor_FilterClass inherits GstBaseTransformClass.
+ *
+ * Referring another child (sibiling), GstVideoFilter (abstract class) and
+ * its child (concrete class) GstVideoConverter.
+ * Note that GstTensor_FilterClass is a concrete class; thus we need to look at both.
+ */
+struct _GstTensor_FilterClass
+{
+ GstBaseTransformClass parent_class; /**< Inherits GstBaseTransformClass */
+};
+
+/*
+ * @brief Get Type function required for gst elements
+ */
+GType gst_tensor_filter_get_type (void);
+
+struct _GstTensor_Filter_Framework
+{
+ gchar *name;
+ gboolean allow_in_place;
+ int (*invoke_NN)(GstTensor_Filter *filter, void *inputptr, void *outputptr);
+};
+typedef struct _GstTensor_Filter_Framework GstTensor_Filter_Framework;
+
+extern GstTensor_Filter_Framework NNS_support_tensorflow_lite;
+
+extern GstTensor_Filter_Framework *tensor_filter_supported[];
+
+G_END_DECLS
+
+#endif /* __GST_TENSOR_FILTER_H__ */
--- /dev/null
+/**
+ * GStreamer Tensor_Filter, Tensorflow-Lite Module
+ * Copyright (C) 2018 MyungJoo Ham <myungjoo.ham@samsung.com>
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a
+ * copy of this software and associated documentation files (the "Software"),
+ * to deal in the Software without restriction, including without limitation
+ * the rights to use, copy, modify, merge, publish, distribute, sublicense,
+ * and/or sell copies of the Software, and to permit persons to whom the
+ * Software is furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+ * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+ * DEALINGS IN THE SOFTWARE.
+ *
+ * Alternatively, the contents of this file may be used under the
+ * GNU Lesser General Public License Version 2.1 (the "LGPL"), in
+ * which case the following provisions apply instead of the ones
+ * mentioned above:
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Library General Public
+ * License as published by the Free Software Foundation; either
+ * version 2 of the License, or (at your option) any later version.
+ *
+ * This library is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+ * Library General Public License for more details.
+ *
+ * You should have received a copy of the GNU Library General Public
+ * License along with this library; if not, write to the
+ * Free Software Foundation, Inc., 59 Temple Place - Suite 330,
+ * Boston, MA 02111-1307, USA.
+ *
+ * @file tensor_filter_tensorflow_lite.c
+ * @date 24 May 2018
+ * @brief Tensorflow-lite module for tensor_filter gstreamer plugin
+ * @see http://github.com/TO-BE-DETERMINED-SOON
+ * @see https://github.sec.samsung.net/STAR/nnstreamer
+ * @author MyungJoo Ham <myungjoo.ham@samsung.com>
+ *
+ * This is the per-NN-framework plugin (tensorflow-lite) for tensor_filter.
+ * Fill in "GstTensor_Filter_Framework" for tensor_filter.h/c
+ *
+ */
+
+#include "tensor_filter.h"
+
+static int tflite_invoke(GstTensor_Filter *filter, void *inptr, void *outptr) {
+ return -1; // NYI
+}
+
+GstTensor_Filter_Framework NNS_support_tensorflow_lite = {
+ .name = "tensorflow-lite",
+ .allow_in_place = FALSE, // Let's not do this yet. @TODO: support this to optimize performance later.
+ .invoke_NN = tflite_invoke,
+};
projects / platform / upstream / nnstreamer.git / commitdiff